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Geospatial Data Scientist Jobs (NOW HIRING)

Leidos is actively interviewing for a Mid‑Level Data Scientist to join our team in Springfield ... Preferred Qualifications * 1-3 years of demonstrated experience performing geospatial data ...

... for geospatial intelligence products. The program is in active development - this is not a ... Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a closely related ...

Data Scientist Location: Hybrid/Alexandria, VA At GeoDelphi Inc., we harness the power of ... As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ...

Data Scientist

Alexandria, VA · On-site

$120 - $160/hr

Data Scientist Location: Hybrid/Alexandria, VA At GeoDelphi Inc., we harness the power of ... As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ...

Senior Geospatial Data Engineer - Vantor

Mclean, VA · On-site

$117K - $141K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Senior Geospatial Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Senior Geospatial Data Engineer

Mclean, VA

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

Data storage & management: design and maintain storage for large raster and vector datasets ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA ... Experience working with geospatial data in multiuser enterprise environment. * Minimum 2 years of ...

Geospatial Scientist

Boulder, CO · On-site +1

$80K - $110K/yr

Data storage & management: design and maintain storage for large raster and vector datasets ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated ...

The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated ...

The Data Scientist Expert integrates tabular, geospatial, and unstructured data sources; develops custom scripts and algorithms using languages such as Python, R, or Julia; and produces sophisticated ...

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Geospatial Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do geospatial data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for geospatial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.
More about Geospatial Data Scientist jobs

What cities are hiring for Geospatial Data Scientist jobs?

Cities with the most Geospatial Data Scientist job openings:

What are the most commonly searched types of Geospatial Data Scientist jobs?

The most popular types of Geospatial Data Scientist jobs are:

What states have the most Geospatial Data Scientist jobs?

States with the most job openings for Geospatial Data Scientist jobs include:

Infographic showing various Geospatial Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Mid-Level Data Scientist

Fairygodboss

Springfield, VA • On-site

$85 - $110/hr

Other

Posted 4 days ago


Job description

Leidos is actively interviewing for a Mid‑Level Data Scientist to join our team in Springfield, VA.

This team member will collect, process, and perform data analysis and deliver data‑driven solutions to quantitatively improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.

We’re looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes.

Primary Responsibilities
  • Collect, process data and perform data analysis.
  • Integrate, protect and maintain data in DBMS.
  • Clean, massage and organize data.
  • Perform ad hoc analysis and present results in a clear manner.
  • Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
  • Assist with creation/deployment/maintenance of cloud applications to support migration of data and production processes.
  • Assist with creation/maintenance of tools to extract feature data and meta‑data from a variety of sources, including Raster to vector, vector‑to‑text, text to vector and text database.
  • Write/maintain Python scripts in ArcGIS to improve efficiency of the production process.
  • Assist in providing support to Business Processing Re‑engineering.
  • Perform data conversion/migration.
  • Assist with development and performance of automated Business Analytics.
Basic Qualifications
  • Typically requires a BA degree and 4–8 years of prior relevant experience or Master’s with 2–6 years of prior relevant experience.
  • 1–3 years of experience in data science, including the areas of data collection, processing, exploitation, transformation, services, modeling, and analytics.
  • 1–3 years of experience using Tableau or equivalent Business Intelligence software and software server functions.
  • 3–5 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and Java, and familiar with querying with SQL. Knowledge and experience developing code using version control tools like Git and git‑adv, knowledge and data science, including the areas of data services, modeling, and analytics.
  • Active TS/SCI clearance with ability to be approved for a CI Poly.
Preferred Qualifications
  • 1–3 years of demonstrated experience performing geospatial data management, including data type conversions and coordinate systems in latitude/longitude and UTM and their conversions, and knowledge of projections and their properties/conversions.
  • Experience in combining digital cartography, computer technology, GIS cartographic and geospatial production techniques, remote sensing photography and digital data formats.
  • Experience building dashboards/websites portraying data analytics.
  • Experience cleansing, structuring large sets of data.
  • Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and opportunities.
  • Knowledge of ESRI, ArcGIS/ArcPro and ArcServer.
  • Experience with ESRI Workflow Manager, WMX and TAM.
  • Knowledge of database systems and architecture.
  • Ability to write SQL.
  • Understanding of cloud architecture and DevOps.
  • Knowledge of symbolization rules.
  • Knowledge of generalization rules.
  • Experience working with geospatial data in a multi‑user enterprise environment.
  • Minimum 2 years of experience working with data quality control tools, including ArcGIS Data Reviewer.
  • Knowledge of metrics dissemination.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Ability to convert structured data into structured formats.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant laws. Leidos is an equal opportunity employer, including for disabilities and veterans.

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